Groups
Eigendecomposition expresses a matrix as a change of basis times a diagonal scaling, revealing its natural stretching directions.
Singular Value Decomposition (SVD) factors any m×n matrix A into A = UΣV^{T}, where U and V are orthogonal and Σ is diagonal with nonnegative entries.